Class/Object

ksb.csle.didentification.verification.loss

EquivalenceLoss

Related Docs: object EquivalenceLoss | package loss

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class EquivalenceLoss extends InformationLoss

This class implements the loss measure method named as Euqivalence Loss.

Linear Supertypes
InformationLoss, Serializable, Serializable, AnyRef, Any
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  1. EquivalenceLoss
  2. InformationLoss
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Instance Constructors

  1. new EquivalenceLoss()

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

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    Any
  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. def convertColumntoArray(src: DataFrame, columnName: String): Array[String]

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    Converts all the contents of a specific column to the array of string.

    Converts all the contents of a specific column to the array of string.

    src

    the dataframe

    columnName

    the column name

    returns

    Array[String] the number of equivalence classes

    Definition Classes
    InformationLoss
  7. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  8. def equals(arg0: Any): Boolean

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    AnyRef → Any
  9. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  11. def getNumEquivalence(src: DataFrame, columnNames: Array[String]): Double

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    Gets the number of the equivalence class which is composed of referring to the columns of quasi-identifiers.

    Gets the number of the equivalence class which is composed of referring to the columns of quasi-identifiers.

    src

    the dataframe

    columnNames

    the array of quasi-identifier columns

    returns

    Long the number of equivalence classes

    Definition Classes
    InformationLoss
  12. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  14. def lossMeasure(src: DataFrame, anonymizedSrc: DataFrame, suppressedSrc: DataFrame, columnNames: Array[String]): InformationLossBound

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    Measures the information loss based on the number of equivalence classes.

    Measures the information loss based on the number of equivalence classes.

    src

    the original dataframe

    anonymizedSrc

    the generalized dataframe

    suppressedSrc

    the suppressed dataframe

    columnNames

    the array of column names of quasi-identifiers. The combination key is made by cross-tabulating these variables.

    returns

    Double the measured information loss

    Definition Classes
    EquivalenceLossInformationLoss
  15. def lossMeasure(src: DataFrame, anonymizedSrc: DataFrame, columnNames: Array[String]): InformationLossBound

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    Measures the information loss of anonymized data compared to the original data.

    Measures the information loss of anonymized data compared to the original data.

    src

    the dataframe

    anonymizedSrc

    the anonymized dataframe

    columnNames

    the array of column names

    returns

    InformationLossBound the measured information loss bound

    Definition Classes
    InformationLoss
  16. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  17. final def notify(): Unit

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    Definition Classes
    AnyRef
  18. final def notifyAll(): Unit

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    AnyRef
  19. final def synchronized[T0](arg0: ⇒ T0): T0

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    AnyRef
  20. def toString(): String

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  21. final def wait(): Unit

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    Annotations
    @throws( ... )
  22. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  23. final def wait(arg0: Long): Unit

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    @throws( ... )

Inherited from InformationLoss

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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